Signed Distance Function Reconstruction

Signed Distance Function Reconstruction is a surface reconstruction method that represents the reconstructed geometry as the zero level set of a scalar field, where the field value at each point corresponds to the signed distance to the nearest surface, thereby distinguishing it by explicitly encoding both the spatial proximity and orientation relative to the surface.

41

Publications

2K

Citations

115

Authors

57

Institutions

Publications per year

2017–2026

19

Authors

115

  1. YL
    Yu-Shen Liu

    Tsinghua University, China

    5 publications · 197 citations

    5

    h-index

  2. BM
    Baorui Ma

    Tsinghua University, China

    4 publications · 174 citations

    4

    h-index

  3. ZH
    Zhizhong Han

    Tsinghua University, China

    3 publications · 146 citations

    3

    h-index

  4. GT
    Gabriel Taubin

    Brown University, United States

    3 publications · 276 citations

    3

    h-index

  5. SM
    Stefan May

    University of Tennessee at Knoxville, United States

    2 publications · 37 citations

    2

    h-index

1–5 of 115

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 138 citations

    4

    h-index

  2. ACM Transactions on Graphics

    TOG · 3 publications · 70 citations

    3

    h-index

  3. Computers & Graphics

    2 publications · 53 citations

    2

    h-index

  4. Computer Graphics Forum

    2 publications · 342 citations

    2

    h-index

  5. ArXiv.org

    Repository · 1 publications · 10 citations

    1

    h-index

1–5